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2020 – today
- 2024
[c19]Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris, Kirk W. Cameron, David Beckingsale, Todd Gamblin:
An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes. IPDPS (Workshops) 2024: 741-750- 2023
- [i1]Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski:
Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems. CoRR abs/2303.08873 (2023) - 2021
- [c18]Chad Wood, Giorgis Georgakoudis
, David Beckingsale, David Poliakoff, Alfredo Giménez, Kevin A. Huck, Allen D. Malony, Todd Gamblin:
Artemis: Automatic Runtime Tuning of Parallel Execution Parameters Using Machine Learning. ISC 2021: 453-472 - [c17]Chunhua Liao, Anjia Wang, Giorgis Georgakoudis, Bronis R. de Supinski, Yonghong Yan, David Beckingsale, Todd Gamblin:
Extending OpenMP for Machine Learning-Driven Adaptation. WACCPD@SC 2021: 49-69 - 2020
- [j3]D. A. Beckingsale, Marty McFadden, Johann Dahm, Ramesh Pankajakshan, Richard D. Hornung:
Umpire: Application-focused management and coordination of complex hierarchical memory. IBM J. Res. Dev. 64(3/4): 00:1-00:10 (2020) - [c16]Tao Wang, Nikhil Jain, David Böhme, David Beckingsale, Frank Mueller, Todd Gamblin:
CodeSeer: input-dependent code variants selection via machine learning. ICS 2020: 43:1-43:11
2010 – 2019
- 2019
- [c15]Tao Wang, Nikhil Jain, David Beckingsale, David Böhme, Frank Mueller, Todd Gamblin:
FuncyTuner: Auto-tuning Scientific Applications With Per-loop Compilation. ICPP 2019: 91:1-91:10 - [c14]David Beckingsale, Richard D. Hornung, Tom Scogland, Arturo Vargas:
Performance portable C++ programming with RAJA. PPoPP 2019: 455-456 - [c13]Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz:
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17 - [c12]David Beckingsale, Thomas R. W. Scogland, Jason Burmark, Rich Hornung, Holger Jones, William Killian, Adam J. Kunen, Olga Pearce, Peter Robinson, Brian S. Ryujin:
RAJA: Portable Performance for Large-Scale Scientific Applications. P3HPC@SC 2019: 71-81 - 2018
- [j2]Tom Scogland, David Beckingsale:
Introduction. Int. J. High Perform. Comput. Appl. 32(4): 553-554 (2018) - 2017
- [c11]David Böhme, David Beckingsale, Martin Schulz:
Flexible Data Aggregation for Performance Profiling. CLUSTER 2017: 419-428 - [c10]Simon McIntosh-Smith, Matthew Martineau, Tom Deakin, Grzegorz Pawelczak, Wayne P. Gaudin, Paul Garrett, Wei Liu, Richard P. Smedley-Stevenson, David Beckingsale:
TeaLeaf: A Mini-Application to Enable Design-Space Explorations for Iterative Sparse Linear Solvers. CLUSTER 2017: 842-849 - [c9]David Beckingsale, Olga Pearce, Ignacio Laguna, Todd Gamblin:
Apollo: Reusable Models for Fast, Dynamic Tuning of Input-Dependent Code. IPDPS 2017: 307-316 - 2016
- [c8]Alexandru Calotoiu, David Beckingsale, Christopher W. Earl, Torsten Hoefler, Ian Karlin, Martin Schulz, Felix Wolf:
Fast Multi-parameter Performance Modeling. CLUSTER 2016: 172-181 - [c7]David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz:
Caliper: performance introspection for HPC software stacks. SC 2016: 550-560 - 2015
- [b1]David Beckingsale:
Towards scalable adaptive mesh refinement on future parallel architectures. University of Warwick, Coventry, UK, 2015 - [c6]David Beckingsale, Wayne P. Gaudin, Andrew Herdman, Stephen A. Jarvis:
Resident Block-Structured Adaptive Mesh Refinement on Thousands of Graphics Processing Units. ICPP 2015: 61-70 - 2014
- [c5]J. A. Herdman, W. P. Gaudin, Oliver Perks, D. A. Beckingsale, A. C. Mallinson, Stephen A. Jarvis:
Achieving portability and performance through OpenACC. WACCPD@SC 2014: 19-26 - 2013
- [j1]O. F. J. Perks, D. A. Beckingsale, Simon D. Hammond, I. Miller, J. A. Herdman, A. Vadgama, Abhir H. Bhalerao, Ligang He, Stephen A. Jarvis:
Towards Automated Memory Model Generation Via Event Tracing. Comput. J. 56(2): 156-174 (2013) - [c4]O. F. J. Perks, D. A. Beckingsale, A. S. Dawes, J. A. Herdman, Cyril Mazauric, Stephen A. Jarvis:
Analysing the influence of InfiniBand choice on OpenMPI memory consumption. HPCS 2013: 186-193 - 2012
- [c3]Robert F. Bird, Steven A. Wright, D. A. Beckingsale, Stephen A. Jarvis:
Performance Modelling of Magnetohydrodynamics Codes. EPEW/UKPEW 2012: 197-209 - [c2]D. A. Beckingsale, O. F. J. Perks, W. P. Gaudin, J. A. Herdman, Stephen A. Jarvis:
Optimisation of Patch Distribution Strategies for AMR Applications. EPEW/UKPEW 2012: 210-223 - [c1]J. A. Herdman, W. P. Gaudin, Simon McIntosh-Smith, Michael Boulton, D. A. Beckingsale, A. C. Mallinson, Stephen A. Jarvis:
Accelerating Hydrocodes with OpenACC, OpeCL and CUDA. SC Companion 2012: 465-471
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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